Instructions to use chrisjay/afrospeech-wav2vec-ibo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrisjay/afrospeech-wav2vec-ibo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="chrisjay/afrospeech-wav2vec-ibo")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("chrisjay/afrospeech-wav2vec-ibo") model = AutoModelForAudioClassification.from_pretrained("chrisjay/afrospeech-wav2vec-ibo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98eaaf17cde78a52913766ce610ac895519c26f5f50c93437bc972edbb3beeaa
- Size of remote file:
- 378 MB
- SHA256:
- 336b448a306b15e911fc23e8279abb6fab1797b932ee8990d4e4886c95e92c64
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